At a Glance
- Tasks: Support data collation, reporting, and analysis to drive insights and actions.
- Company: Join Ormiston Shelfield Community Academy, a thriving secondary school.
- Benefits: Flexible work, opportunities for professional development, and a supportive team.
- Other info: Collaborative environment with opportunities for growth and impact.
- Why this job: Make a real difference in education through data-driven insights.
- Qualifications: Experience in data management and strong communication skills.
The predicted salary is between 63000 - 77000 £ per year.
Ormiston Shelfield Community Academy is seeking a Data Manager to support the Assistant Principal in data collation, reporting and analysis across key cycles.
You will coordinate data meetings with governors, teachers and senior leaders to report insights and drive actions.
The role is based at our oversubscribed secondary academy serving KS3-5, with opportunities for CPD and a collaborative, supportive environment.
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Data Manager — School Analytics & Insights (Flexible Work) employer: Ormiston Shelfield Community Academy
Ormiston Shelfield Community Academy is an excellent employer that prioritises the well-being and development of its staff while fostering a supportive and inclusive work culture. With a strong focus on employee growth opportunities, you will have access to professional development and training, enabling you to make a meaningful impact in the lives of students and their families in a vibrant community setting.
Contact Details:
Ormiston Shelfield Community Academy Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Manager — School Analytics & Insights (Flexible Work)
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We think you need these skills to ace Data Manager — School Analytics & Insights (Flexible Work)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
